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Solution of the Problem Supply Chain Management in Temporal Dependence

  • Conference paper
Book cover Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 323))

Abstract

The article presents the problem of supply chain management. One of the main issues in solving such problems is routing. An algorithm to find the shortest path in the temporal dependence and fuzzy-defined parameters of time and distance. Solution is based on the apparatus of graph theory, namely fuzzy temporal graph. This algorithm is a modification of Dijkstra’s algorithm. An illustration of an example of solving the problem of finding an optimal route in fuzzy conditions, as such representation is closest to reality.

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References

  1. Ivanov, D.A.: Supply Chain Management, p. 660. Polytechnical Institute (2009) (in Russian)

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Author information

Authors and Affiliations

  1. Department of Automated Research Systems, Southern Federal University, Taganrog, Russia

    Marina Savelyeva

  2. Department of Applied Information Science, Southern Federal University, Taganrog, Russia

    Stanislav Belyakov

Authors
  1. Marina Savelyeva
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  2. Stanislav Belyakov
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Corresponding author

Correspondence to Marina Savelyeva .

Editor information

Editors and Affiliations

  1. Ford Motor Company, Research & Advanced Engineering, Dearborn, Mississippi, USA

    D. Filev

  2. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    J. Jabłkowski

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    J. Kacprzyk

  4. Polish Academy of Sciences and WIT - Warsaw School of Information Technology, Systems Research Institute, Warsaw, Poland

    M. Krawczak

  5. Bulgarian Academy of Sciences, Institute of Information and Communication, Sofia, Bulgaria

    I. Popchev

  6. Department of Computer Engineering, Częstochowa University of Technology, Częstochowa, Poland

    L. Rutkowski

  7. Bulgarian Academy of Sciences, Institute of Information and Communication Technologies, Sofia, Bulgaria

    V. Sgurev

  8. Department of Computer and Information Technologies, “Prof. Assen Zlatarov" University Faculty of Technical Sciences, Bourgas, Bulgaria

    E. Sotirova

  9. Industrial Research Institute for Automation and Measurements (PIAP), Warsaw, Poland

    P. Szynkarczyk

  10. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    S. Zadrozny

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© 2015 Springer International Publishing Switzerland

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Savelyeva, M., Belyakov, S. (2015). Solution of the Problem Supply Chain Management in Temporal Dependence. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_42

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  • DOI: https://doi.org/10.1007/978-3-319-11310-4_42

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11309-8

  • Online ISBN: 978-3-319-11310-4

  • eBook Packages: EngineeringEngineering (R0)

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